R Markdown

This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

Including Plots

You can also embed plots, for example:

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.

library(sf)
## Linking to GEOS 3.8.1, GDAL 3.2.1, PROJ 7.2.1
library(tidyverse)
## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
## ✓ ggplot2 3.3.5     ✓ purrr   0.3.4
## ✓ tibble  3.1.3     ✓ dplyr   1.0.7
## ✓ tidyr   1.1.3     ✓ stringr 1.4.0
## ✓ readr   2.0.1     ✓ forcats 0.5.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()
library(ggspatial)
library(ggthemes)

public <- st_read("https://services5.arcgis.com/GfwWNkhOj9bNBqoJ/arcgis/rest/services/Privately_Owned_Public_Spaces/FeatureServer/0/query?where=1=1&outFields=*&outSR=4326&f=pgeojson")
## Reading layer `OGRGeoJSON' from data source 
##   `https://services5.arcgis.com/GfwWNkhOj9bNBqoJ/arcgis/rest/services/Privately_Owned_Public_Spaces/FeatureServer/0/query?where=1=1&outFields=*&outSR=4326&f=pgeojson' 
##   using driver `GeoJSON'
## Simple feature collection with 388 features and 34 fields
## Geometry type: POINT
## Dimension:     XY
## Bounding box:  xmin: -74.13974 ymin: 40.57282 xmax: -73.75302 ymax: 40.83362
## Geodetic CRS:  WGS 84
nhoods <- st_read("https://services5.arcgis.com/GfwWNkhOj9bNBqoJ/arcgis/rest/services/NYC_Neighborhood_Tabulation_Areas_2020/FeatureServer/0/query?where=1=1&outFields=*&outSR=4326&f=pgeojson")
## Reading layer `OGRGeoJSON' from data source 
##   `https://services5.arcgis.com/GfwWNkhOj9bNBqoJ/arcgis/rest/services/NYC_Neighborhood_Tabulation_Areas_2020/FeatureServer/0/query?where=1=1&outFields=*&outSR=4326&f=pgeojson' 
##   using driver `GeoJSON'
## Simple feature collection with 262 features and 12 fields
## Geometry type: MULTIPOLYGON
## Dimension:     XY
## Bounding box:  xmin: -74.25559 ymin: 40.49612 xmax: -73.70001 ymax: 40.91554
## Geodetic CRS:  WGS 84
health <- st_read("https://services5.arcgis.com/GfwWNkhOj9bNBqoJ/arcgis/rest/services/NYC_Health_Centers/FeatureServer/0/query?where=1=1&outFields=*&outSR=4326&f=pgeojson")
## Reading layer `OGRGeoJSON' from data source 
##   `https://services5.arcgis.com/GfwWNkhOj9bNBqoJ/arcgis/rest/services/NYC_Health_Centers/FeatureServer/0/query?where=1=1&outFields=*&outSR=4326&f=pgeojson' 
##   using driver `GeoJSON'
## Simple feature collection with 30 features and 6 fields
## Geometry type: MULTIPOLYGON
## Dimension:     XY
## Bounding box:  xmin: -74.25559 ymin: 40.49612 xmax: -73.70001 ymax: 40.91554
## Geodetic CRS:  WGS 84
ggplot(public) +
  annotation_map_tile(zoomin = 0, progress = "none", type = "hotstyle")  +
  geom_sf() +
  labs(caption = "Map tiles and data by OpenStreetMap")
## Loading required namespace: raster

ggplot() +
  geom_sf(data = nhoods, color = "NA", alpha = 0.5,
          aes(fill = "NYC Neighborhoods")) +
  geom_sf(data = public, color = "blue") +
  scale_fill_manual(values = "black", name = "")

ggplot() +
  ggtitle("NYC Neighborhoods") +
  annotation_map_tile(zoomin = 0, progress = "none", type = "cartolight") +
  geom_sf(data = nhoods, color = "white", alpha = 0.5,
          aes(fill = "NYC Neighborhoods")) +
  geom_sf(data = public,
         aes(color = "Privately Owned Public Spaces")) +
  scale_fill_manual(values = "black", name = "") +
  scale_color_manual(values = c("blue"), name = "") +
  labs(caption = "Privately Owned Public Spaces in New York City")

ggplot() +
  annotation_map_tile(zoomin = 0, progress = "none", type = "cartolight") +
  geom_sf(data = health, color = "NA", alpha = 0.5,
          aes(fill = "NYC Neighborhoods")) +
  geom_sf(data = public,
         aes(color = "Privately Owned Public Spaces")) +
  scale_fill_manual(values = "black", name = "") +
  scale_color_manual(values = c("blue"), name = "") +
  labs(caption = "Privately Owned Public Spaces in New York City")

draftmap_plot

pdf(“A1_draft.pdf”, width = 5, height = 3) draftmap_plot dev.off()

pdf(“A1big_draft.pdf”, width = 10, height = 6) draftmap_plot dev.off()